The overarching goal of this proposed presentation is to discuss the use of learning analytics in Canvas to track and predict students’ performances and to provide timely support for online learners. In addition, the issue of students’ privacy in online courses will also be reviewed through our preliminary survey data.
The overarching goal of this proposed presentation is to discuss the use of learning analytics in Canvas to track and predict students’ performances and to provide timely support for online learners. In addition, the issue of students’ privacy in online courses will also be reviewed through our preliminary survey data. According to Horizon Report 2016, learning analytics is an educational application of web analytics aimed at learner profiling, a process of collecting and analyzing details of individual student performances in their online courses. Learning analytics has developed in three stages, moving from an emphasis on hindsight to foresight. The first stage was describing results, the second stage was diagnosing, and the third stage is predicting what will happen in the future. Within the scope of this proposed presentation, we will:
- Present how we are using learning analytics in Canvas LMS courses, in the instructor’s role, to track and diagnose students’ performances.
- Demonstrate the learning analytics feature in Canvas
- Discuss options for diving deeper into learning analytics with additional powerful tools such as Google analytics in the third stage of predicting students’ performances;
- Review preliminary survey data about online learners’ perspectives on the issue of privacy of their learning behaviors in Canvas.
The presentation will conclude with tips on how to use the learning analytics feature in Canvas and a call for research collaboration to unleash the power of this feature to improve students’ successe in online learning environments.